ArcFace / FaceNet
Definition
Two influential deep CNN facial recognition architectures. FaceNet (Google, 2015) used a triplet-loss training approach to learn facial embeddings. ArcFace (Deng et al., 2019) introduced an additive angular margin penalty that improved embedding discrimination and has become a widely adopted reference architecture.
Related terms
- Embedding
- A compact numerical vector representation of a face produced by a neural network. The distance between two embeddings in the vector space...
- False Match Rate (FMR)
- The proportion of non-mate comparisons (different individuals) that the system incorrectly scores as a match. Also called the false positive rate or...
- False Non-Match Rate (FNMR)
- The proportion of mate comparisons (same individual) that the system incorrectly scores as non-matching. Also called the false negative rate. A lower...
- Gallery vs. probe
- In facial recognition, the gallery is the reference database of enrolled face images; the probe is the query image being compared against...
- NIST FRVT
- The National Institute of Standards and Technology Face Recognition Vendor Testing programme, the primary independent benchmark for facial recognition algorithms, publishing ongoing...
Explained in
- Automated Facial Recognition: Role, Accuracy, and LimitationsTwo influential deep CNN facial recognition architectures. FaceNet (Google, 2015) used a triplet-loss training approach to learn facial embeddings. ArcFace (De...